PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-22 10:21:10.004490+00:00 (UTC)
In US/Central Time, this is 2024-05-22 05:21:10.004490-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/6e0aed2e01c51e1548447de3dc2c27503cbf344b4bdd0ec015d672248ce72bf1.png
We are just generating a random time serie here.
../_images/5a7866b681cce3410a80101cd754d00f6a39286163bd43669f55303f7749274a.png
../_images/0000b23202f8686625d753df550af244264cd9f9533d026ebed9c8a41c438c34.png